Evidence map›Paper›PMID 31086986›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Prevalence, Incidence, and Risk Factors for Overall, Physical, and Cognitive Independence Among Those From Exceptionally Long-Lived Families: The Long Life Family Study.

Adam J Santanasto, Megan M Marron, Robert M Boudreau, Mary F Feitosa, Mary K Wojczynski, Konstantin G Arbeev, Bharat Thyagarajan, Nicole Schupf, Eric Stallard, Paola Sebastiani and 3 more

Abstract readMulticenter Study
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Automated Muscle Measurement on Chest CT Predicts All-Cause Mortality in Older Adults From the National Lung Screening Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Trial
  2. Dual Functionality in Later Life.The Gerontologist · 2023
    Article
  3. Sex Differences in the Association Between Metabolic Dysregulation and Cognitive Aging: The Health and Retirement Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Adam J SantanastoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Megan M MarronDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Robert M BoudreauDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.
Mary F FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, Missouri.
Mary K WojczynskiDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, Missouri.
Konstantin G ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota.
Nicole SchupfDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York.
Eric StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.
Paola SebastianiDepartment of Biostatistics, School of Public Health, Boston University, Massachusetts.
Stephanie CosentinoDepartment of Neurology, College of Physicians and Surgeons, Columbia University, New York.
Kaare ChristensenEpidemiology Unit, Institute of Public Health, The Danish Aging Research Center, University of Southern Denmark, Sønderborg, Denmark.
Anne B NewmanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 2019 to 2026
$125.4M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Miguel Arce · 2020 to 2026
$30.1M
Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ROACH, DEBORAH A · 1990 to 2008
$17.5M
The Long Life Family StudyU01AG023755 · NIA · BOSTON MEDICAL CENTER · PI PERLS, THOMAS T · 2004 to 2018
$13.2M
Plasma beta-amyloid in long lived families: genetics and risk of ADU01AG023749 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSENTINO, STEPHANIE ANN, LEE, JOSEPH HYUNGWOO · 2004 to 2018
$13.0M
Multicenter Study on Exceptional Survival in Families: The Long Life Family StudyU01AG023744 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B., ZMUDA, JOSEPH M. · 2004 to 2018
$12.0M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000181 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 1989 to 2025
$6.2M
Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2008 to 2026
$6.1M
Training in Molecular Epidemiology: Linking Genes to Physical Function in Older AdultsK01AG057726 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANTANASTO, ADAM J · 2018 to 2022
$582k
NHLBI NIH HHS T32 HL083825NIA NIH HHS K01 AG057726NIA NIH HHS P01 AG008761NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG066462NIA NIH HHS T32 AG000181NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19 AG063893
6 · The paper itself

Abstract

backgroundThe Long Life Family Study (LLFS) enrolled families exhibiting exceptional longevity. The goal of this article was to determine the prevalence and predictors of remaining independent after 7 years in the oldest generation.

methodsWe examined 7-year change in physical (free of activities of daily living difficulty), cognitive (Mini-Mental State Examination score ≥ 24), and overall independence (physically/cognitively independent) in adults aged 90.3 ± 6.3 from LLFS's oldest generation. Potential predictors (n = 28) of remaining independent included demographics, diseases, biomarkers, anthropometrics, and physical and cognitive performance tasks and were determined using generalized estimating equations (α: p < .05). This was a discovery/exploratory analysis, so no multiple testing correction was employed and the results require independent replication.

resultsAt baseline (n = 1442), 67.3%, 83.8%, and 79.7% were overall, physically, and cognitively independent, respectively. After 7 years, 66% died, 7.5% were lost to follow-up, and the prevalence of overall independence decreased to 59.1% in survivors (-8.2%, 95% confidence interval: -14.1%, 2.2%). Of those with baseline independence, 156/226 (69.0%) remained independent. Predictors of remaining physically independent included younger age, better Short Physical Performance Battery score and lung function, smaller waist circumference, and lower soluble receptor for advanced glycation end-product levels (p < .05). Predictors of remaining cognitively independent included no cancer history, better Digit Symbol Substitution Test performance, and higher body weight (p < .05).

conclusionsThe prevalence of independence decreased by only 8.2% after 7 years, demonstrating the close correspondence between disability and mortality. Further, despite a mean baseline age of 90 years, a large proportion of survivors remained independent, suggesting this exceptional subgroup may harbor protective mechanisms.

Indexed as

Activities of Daily LivingCognitionLongevityAged, 80 and overFemaleHumansIncidenceMalePersons with DisabilitiesPrevalenceRisk FactorsCompression of morbidityDementiaDisabilityOldest old

Identifiers

PMID31086986
PMCPMC7164521

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.